DOE OSTI · 2537836
Stochastic Ensemble Generation for Improved Characterization of Representing Geologic Variability in a Reservoir: IBDP Case Study for SMART Initiative
Abstract
This document is a poster covering the findings from activities on training data generation, specifically geologic ensemble generation. The generated geologic realizations captured the range of possible permeability distributions of the subsurface at the Illinois Basin - Decatur Project (IBDP) site, based on available well log variabilities. The percentages of reservoirs and baffles in the injection zone and a truncation of baffle permeability led to more variance in the simulations. This will be used to build forward modeling, history matching, and optimization workflows. The geologic realizations were also ranked according to dynamic measures of hydraulic diffusivity, and simulations confirm a greater contrast between the reservoir and the baffles during injection.
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Petras, Brigitte [NETL Site Support Contractor, National Energy Technology Laboratory], Skopec, Stuart [NETL Site Support Contractor, National Energy Technology Laboratory], Ganesh, Priya Ravi [NETL Site Support Contractor, National Energy Technology Laboratory], Yoon, Hongkyu [Sandia National Laboratories (SNL)]. 2025-03-03. Stochastic Ensemble Generation for Improved Characterization of Representing Geologic Variability in a Reservoir: IBDP Case Study for SMART Initiative. https://doi.org/10.2172/2537836
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